During my PhD at MIT, I developed a compact and compliant robotic tactile sensor, called fingertip GelSight sensor, that converts touch information into “visual” information on which computer vision and machine learning techniques may be employed. The sensor offers high sensitivity and resolution exceeding that of human fingertips, and can be potentially used as a next-generation robotic fingertip. My research work was reported in various media including MIT News, The Washington Post, TechCrunch, Gizmag, Engadget, etc. (See “In the Press” below.)